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Summary & Details

SENSOR FUSION FOR AUTOMATED DRIVING BY INTERCONNECTION NETWORK

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20219027

Paper/Info type: Other International Conferences

Pages: 1-3(Total 3 p)

Date of publication: Sep 2021

Publisher: JSAE

Language: English

Detailed Information

Author(E)	1) Yifei Xue, 2) Toshio Ito
Affiliation(E)	1) Shibaura Institute of Technology, 2) Shibaura Institute of Technology
Abstract(E)	For automated driving, the most important technologies are detecting objects and measuring distances. However, due to the insufficient of hardware and the imperfection of software, only using single sensor or method, the final results are often accompanied by a large error. The purpose of this paper is to establish an interconnection network, thus fusing three methods: the distance measurement by using LiDAR, detail compensation of detected object by using optical flow and highprecision object classification by using SSD algorithm. Finally improving the accuracy and the reliability of the autonomous vehicle’s detection results.

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